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Nitrogen is a very important element for life because it is a major constituent of proteins and nucleic acids. It is a macronutrient, and in nature, it is recycled from organic compounds and stored in the form of  ammonia, ammonium ions, nitrate, nitrite, or  nitrogen gas by many metabolic processes. Many of these metabolic processes are carried out only by prokaryotes.
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Updated: Jul 20, 2025

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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开发雨水生物保留系统的除模型.

Jiayi Li1, Teresa B Culver1, Padmini P Persaud2

  • 1Department of Civil and Environmental Engineering, University of Virginia, 351 McCormick Road, Charlottesville, VA, 22904, United States.

Water research
|July 30, 2023
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概括
此摘要是机器生成的。

新的模型通过精确模拟去除来提高生物保留系统的性能. 这些先进的去除模型 (NRM) 更好地预测废水度,提高雨水管理.

关键词:
建模建模模型是什么气 气 是一种气.这就是SWMM.雨水的生物保留.

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科学领域:

  • 环境工程 环境工程
  • 水质管理水质管理
  • 风暴水管理风暴水管理

背景情况:

  • 生物保留系统可以减少排水量,并去除.
  • 内部储水 (IWS) 和实时控制 (RTC) 可以提高生物保留性能.
  • 现有的模型很难模拟由IWS和环境因素影响的转换.

研究的目的:

  • 开发和评估生物保留系统的去除模型 (NRM).
  • 将模型性能与不同复杂度的循环 (单个池与3个池) 和动力学 (0级,1级,迈凯利斯-门登) 进行比较.
  • 使用土壤湿度数据,评估模型适应IWS和RTC系统的适应性.

主要方法:

  • 通过将SP和3P模型与0级,1级和迈凯利斯-门动力学结合起来,开发了6个NRM.
  • 使用实验室生物保留系统数据进行校准和验证的NRM.
  • 集成NRM与风暴水管理模型 (SWMM) 进行模拟和比较.

主要成果:

  • 0级动力学不适合模拟生物保留系统中的去除.
  • 第一阶动力学和迈凯利斯-门模型显示了类似的性能.
  • 最好的模型 (3P-m) 与SWMM相比,提高了事件平均度的预测准确度20%.
  • 3P-m准确地预测了IWS/RTC系统的累积质量去除率 (±7%的误差),其性能优于SWMM (-23%的误差).

结论:

  • 3P模型提供了比SP模型更高的准确性和更好的生化反应速率预测.
  • SP模型提供了更好的准确性与更简单的初始条件要求.
  • 开发的3P-m模型增强了生物保留系统中去除的模拟,特别是那些具有IWS和RTC的系统.